Statistical Analytics for Health Data Science with SAS and R, Two-Volume Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies including models for longitudinal data with time-dependent covariates, multi-membership mixed-effects models, statistical modeling of survival data, Bayesian statistics, joint modeling of longitudinal and survival data, nonlinear regression, statistical meta-analysis, spatial statistics, structural equation modeling, latent growth curve modeling, causal inference and propensity score analysis.\nWith an emphasis on real-world applications, the books integrate publicly available health datasets and provide case studies from a variety of health applications demonstrating how\n\nStatistical Analytics for Health Data Science with SAS and R, Two-Volume Set\n\nFree UK delivery on this item.\n\nThis brand new item is available with free UK delivery using Royal Mail tracked services.\n\;